PENERAPAN ALGORITMA RANDOM FOREST PADA SISTEM PENDUKUNG KEPUTUSAN UNTUK PENINGKATAN KUALITAS TIDUR BERBASIS WEB (Studi Kasus: Mahasiswa FIK UPNVJ)

Muhammad Adi Wira Kusuma, . (2025) PENERAPAN ALGORITMA RANDOM FOREST PADA SISTEM PENDUKUNG KEPUTUSAN UNTUK PENINGKATAN KUALITAS TIDUR BERBASIS WEB (Studi Kasus: Mahasiswa FIK UPNVJ). Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

[img] Text
ABSTRAK.pdf
Download (242kB)
[img] Text
AWAL.pdf
Download (989kB)
[img] Text
BAB I.pdf
Restricted to Repository UPNVJ Only
Download (276kB)
[img] Text
BAB II.pdf
Restricted to Repository UPNVJ Only
Download (455kB)
[img] Text
BAB III.pdf
Restricted to Repository UPNVJ Only
Download (398kB)
[img] Text
BAB IV.pdf
Restricted to Repository UPNVJ Only
Download (2MB)
[img] Text
BAB V.pdf
Download (267kB)
[img] Text
DAFTAR PUSTAKA.pdf
Download (231kB)
[img] Text
RIWAYAT HIDUP.pdf
Restricted to Repository UPNVJ Only
Download (144kB)
[img] Text
LAMPIRAN.pdf
Restricted to Repository UPNVJ Only
Download (1MB)
[img] Text
HASIL PLAGIARISME.pdf
Restricted to Repository staff only
Download (12MB)
[img] Text
ARTIKEL KI.pdf
Restricted to Repository staff only
Download (519kB)

Abstract

Sleep quality issues among university students have become increasingly significant due to growing academic demands and digital lifestyles. Poor sleep quality has been shown to negatively affect physical health, concentration, and academic performance. To address this, the study involves the design and development of a web-based sleep quality decision support system founded upon the Pittsburgh Sleep Quality Index (PSQI) and the Random Forest algorithm. Data was gathered via the PSQI questionnaire, processed through preprocessing, component scoring, and labeling. Using Random Forest, a classification model was trained and subsequently saved as a .pkl file for system integration. Results indicated 70.3% of students had poor sleep quality, with the model achieving 96.77% accuracy. This system is intended to function as a personalized and educational resource, empowering students to independently assess and enhance their sleep quality.

Item Type: Thesis (Skripsi)
Additional Information: [No.Panggil: 2110512077] [Pembimbing 1: Tjahjanto] [Pembimbing 2: Rudhy Ho Purabaya] [Penguji 1: Ika Nurlaili Isnainiyah] [Penguji 2: Bambang Triwahyono]
Uncontrolled Keywords: sleep quality, PSQI, random forest algorithm, decision support system, machine learning.
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1)
Depositing User: MUHAMMAD ADI WIRA KUSUMA
Date Deposited: 25 Mar 2026 00:49
Last Modified: 25 Mar 2026 00:49
URI: http://repository.upnvj.ac.id/id/eprint/41573

Actions (login required)

View Item View Item